Transcriptomics

Dataset Information

0

Human iPSC-based Modeling of Late-Onset Disease using Progerin-induced Aging


ABSTRACT: Reprogramming somatic cells to induced pluripotent stem cells (iPSCs) sets their identity back to an embryonic age. This presents a fundamental hurdle for modeling late-onset disorders using iPSC-derived cells. We therefore developed a strategy to induce age-like features in multiple iPSC-derived lineages and tested its impact on modeling Parkinson’s disease (PD). We first describe markers that predict fibroblast donor age and observed the loss of these age-related markers following iPSC induction and re-differentiation into fibroblasts. Remarkably, age-related markers were readily induced in iPSC-derived fibroblasts or neurons following exposure to progerin including dopamine neuron-specific phenotypes such as neuromelanin accumulation. Induced aging in PD-iPSC-derived dopamine neurons revealed disease phenotypes requiring both aging and genetic susceptibility such as frank dendrite degeneration, progressive loss of tyrosine-hydroxylase expression and enlarged mitochondria or Lewy body-precursor inclusions. Our study presents a strategy for inducing age-related cellular properties and enables the modeling of late-onset disease features.

ORGANISM(S): Homo sapiens

PROVIDER: GSE52431 | GEO | 2014/01/23

SECONDARY ACCESSION(S): PRJNA228920

REPOSITORIES: GEO

Similar Datasets

2014-01-23 | E-GEOD-52431 | biostudies-arrayexpress
2018-10-17 | E-MTAB-7303 | biostudies-arrayexpress
2023-03-04 | PXD026691 | Pride
2018-11-01 | GSE117720 | GEO
| PRJNA228920 | ENA
2023-12-31 | GSE252132 | GEO
2023-10-28 | GSE236458 | GEO
2021-10-13 | ST001957 | MetabolomicsWorkbench
2020-03-20 | PXD017018 | Pride
2023-10-28 | GSE241631 | GEO